WO2010128520A2 - Procédé permettant de surveiller un équipement sur une base installée en vue d'améliorer la conception et les performances de l'équipement - Google Patents

Procédé permettant de surveiller un équipement sur une base installée en vue d'améliorer la conception et les performances de l'équipement Download PDF

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Publication number
WO2010128520A2
WO2010128520A2 PCT/IN2010/000260 IN2010000260W WO2010128520A2 WO 2010128520 A2 WO2010128520 A2 WO 2010128520A2 IN 2010000260 W IN2010000260 W IN 2010000260W WO 2010128520 A2 WO2010128520 A2 WO 2010128520A2
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WO
WIPO (PCT)
Prior art keywords
equipment
data
parameters
acquired
installed base
Prior art date
Application number
PCT/IN2010/000260
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English (en)
Other versions
WO2010128520A3 (fr
Inventor
Abhay Nalawade
Original Assignee
Ecoaxis Systems Pvt. Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ecoaxis Systems Pvt. Ltd. filed Critical Ecoaxis Systems Pvt. Ltd.
Priority to US13/318,578 priority Critical patent/US20120053979A1/en
Priority to DE112010001881T priority patent/DE112010001881T5/de
Publication of WO2010128520A2 publication Critical patent/WO2010128520A2/fr
Publication of WO2010128520A3 publication Critical patent/WO2010128520A3/fr

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0232—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on qualitative trend analysis, e.g. system evolution
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31217—Merge, synchronize process data and network data for trend analysis
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31282—Data acquisition, BDE MDE
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31316—Output test result report after testing, inspection
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31336—Store machines performance; use it to control future machining
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning

Definitions

  • This invention relates generally to a method of monitoring equipment over an installed base for improving the design and performance of the equipment/s. More particularly, the invention relates to a method of monitoring equipment/s over an installed base for improving the design and performance of the equipment/s, wherein the equipment/s belong to the same class.
  • Equipment performance is not constant and unchanging: many factors such as operating environment, conditions, quality and specific characteristics of the utilities, qualit ⁇ of the raw materials etc. cause the performance or efficiency of the equipment to drift from its optimum or design reference levels.
  • Sample data is usually not collected across all instances of installed equipment. It may not be practical or feasible to collect data across all 0 installed instances - e.g. if a tap point is not provided at the time of manufacturing an equipment, it may not be possible to get a measure of bearing temperature (without some or the other extent of equipment retrofit, or in some cases even that might not be an option);
  • Sample data has to be pro-actively obtained as it is not automatically & continuously acquired, analyzed or interpreted.
  • the primary necessity for achieving this is having a system of continuous monitoring of the equipment (and further thereto, to record and provide the data to the manufacturer on a continuous basis; to manage the individual equipment etc.).
  • the monitoring solution itself has to be efficient in order to ensure that the benefits of monitoring measure favourably against the cost of data acquisition and analysis.
  • Process automation or automated control systems manage or control the operations of manufacturing processes, and equipment monitoring is an indirect non-primary function of these solutions.
  • the present invention proposes to meet the needs identified in the above description of the related art as well as meeting other needs as stated below.
  • the principal object of the invention is to fulfil a need to provide a solution that performs ongoing and continuous monitoring of a plurality of equipments for performance and operational parameters, the equipments including those located at multiple geographical locations, in order to provide equipment performance data to the desired stakeholders (including the equipment manufacturer and designer, the service personnel etc.) in order to:
  • Another object of the invention is to acquire automatic as well as manual data and to transmit the same via multiple modes (thereby ensuring the transmission even if one of the modes fails) through devices that need not be high-end devices.
  • ii. Communicating by way of a communication network the acquired data to a remote system, the remote system comprising at least one of computer 5 readable means such as data server, application server;
  • a method for improving operation, reliabilin . maintenance and service for equipment installed base is also provided, the method comprising the steps of
  • ii. Communicating by way of a communication network the acquired data to0 a remote system, the remote system comprising at least one of computer readable means such as data server, application server;
  • Tig. 1 is a schematic block diagram reflecting the input/output representation of an embodiment of the system of these teachings.
  • Fig. 2 is a schematic flowchart representation of an embodiment of the method of these teachings.
  • Fig. 3 is a schematic flowchart representation of one portion of an embodiment of the method of these teachings.
  • Fig. 4 is a schematic block diagram of an embodiment of the system of these teachings
  • 1 ig. 5 is another schematic block diagram of an embodiment of the system of these teachings.
  • a method for improving equipment design for equipment installed base is provided.
  • a method for improving operation, reliability, maintenance and service for equipment installed base is also provided herein below.
  • the management of the equipment operation can include optimizing equipment performance b> establishing patterns and correlations that can lead to predictions and preventions of failures and inefficiencies and improvements in equipment design.
  • the method of these teachings includes continuously acquiring, utilizing acquisition systems, data for inputs, outputs and energy consumption of each one of a number of pieces of equipment, each one piece of equipment belonging to an installed base of a same class of equipment and analyzing, utilizing one or more processors, the acquired data in order to obtain patterns and relations for the installed base.
  • the method of these teachings monitors the equipment by measuring the I O parameters that provide data analysis of equipment ' s performance and efficiency.
  • the above disclosed framework, shown in Fig. 1. allows equipment experts to configure the parameters that are measures of:
  • FIG. 2 A flowchart description of an embodiment of the method of these teachings is5 shown in Fig. 2.
  • the method includes defining monitoring parameters for a class of equipment in the installed base (Step 25, Fig. 2).
  • the rules/algorithms for analysis for an entire class of equipment are configured (step 30, Fig. 2) and the specific instances of equipment, as they are installed are also configured (step 35, Fig. 2).
  • the data is continuously acquired and transmitted to backend (remote) systems for analysis (step 40, Fig. 2). In one instance, the data is transmitted over a network such as the Internet.
  • An advantageous feature of the present invention being the provision for multiple modes of transmission of the acquired data in that on occurrence of failure of a given mode of transmission the system is automatically capable of switching to an alternative mode of transmission so that transmission takes place smoothly.
  • the acquired data is analyzed (continuously, in one instance) (step 45, Fig. 2).
  • notifications/alert of specific conditions can be provided to specific stakeholders (step 55, Fig. 2). such as, but not limited to, OEMs, end users, maintenance & post sales services providers and others.
  • the results of the analysis can be recorded (step 50, Fig. 2) and presented to different stakeholders, such as, but not limited to, OEMs, end users, maintenance and post sales service providers and others, on demand (step 60, Fig. 2).
  • the analysis results when provided to OEMs enable continuous design improvements.
  • the “measuring” step of the method of the present teachings ensures that the data that is relevant for design verification/validation, performance analysis, equipment operations management and maintenance and sen ice planning and scheduling is accurately and continuously captured.
  • the method of these teachings allows engineering experts to determine which parameters are required to derive equipment performance and efficiency. In order to be efficient in data acquisition, in one instance, the method of these teachings provides multiple methods of data acquisition. In one embodiment, the method of these teachings supports the following different modes for acquiring the parameter values on ongoing basis:
  • the present teachings provide for configuration of the entire eco-system by creating various hierarchies for classification of the acquired data with which the data can be analysed and the results of the anaK sis can be provided to various stakeholders.
  • the method of these teachings supports the following different modes for configuration
  • Site configurator with which the user can create a hierarchy in terms of geography, country, region, state, area and city.
  • the above disclosed framework further allows equipment experts to configure the rules/algorithms for interpreting the acquired values individually or in pre-defined or ad-hoc co-related groups on an ongoing basis, and conversion of the same into meaningful and actionable information.
  • the "analysis” step of the method comprehensively examines captured data, from the perspective of identifying factors that affect performance and that are further useful in improving equipment operations, maintenance and service planning.
  • the “analysis” step is not limited b ⁇ known knowledge or by availability of expert at specific time etc.
  • a flowchart description of the details of the analysis step of an embodiment of the method of these teachings is shown in fig. 3. Referring to fig. 3. the acquired data 65 is filtered in order to substantially describe invalid samples based on the configured rules (step 70. Fig. 3). From the filter data, the substantially instantaneous values of individual parameters are evaluated for each instantiation of the equipment (step 75. Fig. 3). The relationship/ratios between parameter values are evaluated for each instantiation of the equipment (step 80, Fig. 3).
  • KPI key performance indicators
  • Key performance indicators relationship/ratios are evaluating for each instantiation of the equipment (step 90, Fig. 3). Whether or not the results of steps 75, 80, 85 or 90 represent a failure/breakdown condition is determined (step 95, Fig. 3). Steps 80, 85, 90 and 95 are repeated over the installed base of equipment and the results collated (step 97, Fig. 3). For each of the instantiation of the installed equipment and for the collated data from the plurality of pieces of equipment, each one piece of equipment from said plurality of pieces of equipment belonging to an installed base of a.
  • i hi* anal) bis is ha «.ed ⁇ correlating (lie various parameters of data acquired from the plurality of equipment and identification of specific patterns and relations. These patterns and relationships are in the form of comparison/evaluation of measurements over a period of time and on occurrences of specific events.
  • Each of the parameter from the acquired data is evaluated against certain configured values and ranges, and based on the results of comparisons; the system triggers further analysis steps or notification of deviations as per configured rules.
  • the parameters are collated over pre-configured periods of time (e.g. average over a fixed period etc.): these are then compared with similar values of one more other
  • the system records these deviations.
  • the system records all occurrences of such deviations, along u ith snapshots of parametric data recorded at the time of such occurrences.
  • the system also trends the changes in specific values, ratios between specific parameters or observed deviations over a period of time. The trend itself0 is examined and matched against pre-configured trends/curves and mismatches/deviations are recorded and acted upon as per configured rules/algorithms. All of the above steps being carried out for each of the instantiation of the equipment as well as over a plurality of equipments belonging to the same class and which may be present at multiple geographic locations.
  • the equipment experts create and configure rules/algorithms that automate the process of interpreting the data and its analysis as described above, and conversion of the same into meaningful and actionable information.
  • the step of providing the analysis results to stakeholders ensures that the analyzed information and its interpretations are conveyed/presented correctly and automatically Io the relevant stakeholders in a format that can be customized to the requirements of the concerned stakeholder.
  • This also includes the logic of identification of specific occurrences or of specific conditions or of specific performance indicators (KPIs. e.g. Overall Equipment Effectiveness - OFF. or specific energy consumption of equipment etc.) and trends in the observed values of the same.
  • KPIs e.g. Overall Equipment Effectiveness - OFF. or specific energy consumption of equipment etc.
  • FIG. 4 A block diagram representation of an embodiment of the system of these teachings is shown in Fig. 4.
  • a number of pieces of equipment each piece of equipment 105 being an instantiation of a piece of equipment from an installed base, are monitored (parameter values are acquired) by means of a control automation system 1 10, or sensor/instruments/meters 120, or by entry of the desired parameters 1 15.
  • the acquired data is provided to a remote or backend system 125 and reports 130 and/or notifications 132 and/or dashboards 134 are obtained and provided to equipment manufacturers (OEMs) 150 and equipment maintenance and service teams 145 and the equipment users 140.
  • OEMs equipment manufacturers
  • FIG. 5 Another block diagram representation of an embodiment of the system of these teachings is shown in Fig. 5.
  • parameters are monitored from each piece of equipment 105 from a number of pieces of equipment (only one shown), each piece of equipment 105 being an instantiation of a piece of equipment from an installed base, by means of a data acquisition component 107.
  • the data acquisition component is interfaced to a network 1 17 (exemplary modes of interfacing, not a limitation of these teachings, are listed) and connected via the network 1 17 to a remote or backend system (or server) 125.
  • the remote or backend system 125 is interfaced via a network 1 17 or other means to end user operators or OEM representatives (such as OEM service engineers or OEM management) in order to provide the results of the analysis of the acquired data.
  • the said results thus enabling the OEM in bringing about improvements in design of the equipment on a continuous basis and also the other respective stakeholders in better management of operations, maintenance and servicing of the given equrpment(s).
  • Equipment conditions that are co-related to the instances to instances of failure including historical analysis providing frequency distribution of common factors (in terms of parameter values) co-related with instances of equipment failure or breakdown across the entire installed base;
  • the "Improve” step of the method provides the outputs of the interpretation rules and analysis in various formats (visual/tabular/exported/transmitted etc.) to different defined stakeholders (equipment manufacturer's design team, maintenance/service teams, owners'operators etc.).
  • the formats in which the output is provided to the stakeholders are customized in accordance w ith the specific requirements and configurations of the recipient stakeholder.
  • the invention is capable of providing only the desired and relevant information in the most suitable format depending on the defined recipient stakeholder so that the information can be acted upon as necessitated.
  • the equipment Key Performance Indicators w hich are calculated for each equipment are collated and analysed for all instances of the equipment across the installed base with respect to various patterns, correlations and scenarios which are defined as part of the configuration step such as input characteristics (e.g. specifications of raw material and utilities, specifications of the output produced by the equipment); operating conditions (e.g. ambient conditions at specific geographical locations); operations and maintenance procedures (e.g. automated, manual etc.); application specific configurations and integration (recipes, process specific configurations etc.).
  • input characteristics e.g. specifications of raw material and utilities, specifications of the output produced by the equipment
  • operating conditions e.g. ambient conditions at specific geographical locations
  • operations and maintenance procedures e.g. automated, manual etc.
  • application specific configurations and integration e.g. automated, manual etc.
  • the end user configurator provides the kind of end user or industry where the equipment is operating.
  • the site configurator provides the geography information of the installation.
  • the equipment performance parameters for the entire class of equipment installed base such as efficiency and performance are plotted against variables such as end user application, geography, fuel type etc.
  • Various analysis techniques can be used for the same such as regression analysis, scatter diagrams, histograms etc.
  • equipment signature can be plotted and deviations from this signature can be tracked to further analyse deviations from the expected, average or best in class performance.
  • the performance monitoring & benchmarking which is done as described above, can be used to driv e performance improvements for individual equipment users.
  • the know ledge w hich is accumulated is used b ⁇ the equipment experts at the OEM to analyse, troubleshoot. and suggest equipment operation, maintenance or service processes and practices which can bring about the desired improvements.
  • One of the techniques used for analysing equipment reliability is fault tree anah sis.
  • the equipment design experts create FTA's for each component, assembly and sub assembly and define the possible root cause of failures. These FTA's can be inputted to the software analysis package, and the data collected from across the installed base can be used to monitor specific occurrences of the conditions which could lead to equipment or component failure. Various rules and algorithms can be configured to monitor the occurrences of these conditions. This analysis can further be used to bring about improvements in the component design, or in overall system design, or in suggesting changes to the operation, maintenance or service of that component which can prevent such as failure.
  • specific heavy oil filtering system could consist of variety of filtration, piping, type of filter, as well as mesh of the filter as well as centrifuging s ⁇ stcm. Based on the data available from variety of designs & models which are in the installed base, a selection could be made using the best performing design and a major design change can be made, to standardize on the most efficient s ⁇ stem .
  • materials function usually selects more than one vendor and the selection is based on testing against design specification by the vendor as well as testing by in house QA/QC.
  • Installed base data can be analysed with respect to component makes, vendor source, with uniformly applied service and operating conditions to make changes to component source. Certain critical manufacturing processes such as welding, heat treatment, machining can lead to product failures over a period of time. Continuous monitoring of installed base provides field failure data patters to be recognized. Further specific changes made to overcome these defects can continue to be 5 monitored across the installed base to get insights for improvements in manufacturing processes.

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Abstract

L'invention concerne un procédé permettant d'améliorer/optimiser une conception d'équipement pour une base installée d'équipement d'ingénierie et de gérer l'exploitation d'un équipement. Dans un mode de réalisation, le procédé consiste à acquérir en continu, en utilisant des systèmes d'acquisition, des données (mesures) concernant les conditions d'exploitation de l'équipement, les conditions d'environnement de l'équipement, l'énergie consommée par l'équipement, les utilitaires utilisés par l'équipement, les gaspillages résultant du processus, les données d'entrée et les données de sortie de chaque pièce de la pluralité de pièces d'équipement, chaque pièce d'équipement appartenant à une base installée des pièces d'équipement de même catégorie, et à analyser, en utilisant un ou plusieurs processeurs, les données acquises afin d'obtenir des modèles et des relations pour la base installée ; les modèles et les relations comprenant des facteurs qui affectent les performances et l'efficacité, les modèles et les relations étant utilisés pour améliorer/optimiser la conception de l'équipement et la gestion de la base installée. Dans un mode de réalisation, le procédé consiste également à enregistrer les résultats d'analyse et à fournir les résultats d'analyse dans plusieurs formats aux parties prenantes souhaitées, telles que les fabricants d'équipement d'origine (OEM), le format étant personnalisé selon le destinataire/la partie prenante visé(e).
PCT/IN2010/000260 2009-05-04 2010-04-26 Procédé permettant de surveiller un équipement sur une base installée en vue d'améliorer la conception et les performances de l'équipement WO2010128520A2 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US13/318,578 US20120053979A1 (en) 2009-05-04 2010-04-26 Method of monitoring equipment/s over an installed base for improving the equipment design and performance
DE112010001881T DE112010001881T5 (de) 2009-05-04 2010-04-26 Verfahren zum Überwachen von Anlagen über eine installierte Basis zum Verbessern von Design und Leistung der Anlagen

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN1160MU2009 2009-05-04
IN1160/MUM/2009 2009-05-04

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WO2010128520A2 true WO2010128520A2 (fr) 2010-11-11
WO2010128520A3 WO2010128520A3 (fr) 2011-01-13

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DE (1) DE112010001881T5 (fr)
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EP2699477B1 (fr) 2011-04-18 2016-12-07 Krones AG Procédé d'operation d'une installation de traitement de récipients avec diagnose d'erreurs
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WO2021147143A1 (fr) * 2020-01-21 2021-07-29 厦门邑通软件科技有限公司 Procédé, système et dispositif de gestion d'enregistrement de comportements opérationnels

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US20130173332A1 (en) * 2011-12-29 2013-07-04 Tom Thuy Ho Architecture for root cause analysis, prediction, and modeling and methods therefor
US20130030760A1 (en) * 2011-07-27 2013-01-31 Tom Thuy Ho Architecture for analysis and prediction of integrated tool-related and material-related data and methods therefor
US20130282624A1 (en) * 2012-04-20 2013-10-24 Glenn Schackmuth Restaurant Equipment Monitoring and Control System and Method
DE102014206737A1 (de) 2013-04-08 2014-10-09 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren zur Berechnung von Kennzahlen (KPIs) zur Bewertung, Anpassung und optimierten Steuerung von Anlagen und/oder Maschinen und Einrichtung hierzu
US20170053224A1 (en) * 2015-08-20 2017-02-23 Honeywell International Inc. System and method for providing multi-site visualization and scoring of performance against service agreement
US10536534B2 (en) 2015-08-20 2020-01-14 Honeywell International Inc. System and method for providing visual feedback in site-related service activity roadmap
EP3144763A1 (fr) * 2015-09-15 2017-03-22 Siemens Aktiengesellschaft Systeme et procede de commande et/ou d'analyse d'un processus industriel a l'aide d'une unite de calcul externe a l'installation et d'un module de revision pour l'operateur du systeme
EP3511787A1 (fr) * 2018-01-12 2019-07-17 Siemens Aktiengesellschaft Traitement de données de processus industriel

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